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Professor Venkataraman’s research lies at the intersection of medical imaging, artificial intelligence, and clinical neuroscience. As PI of the Neural Systems Analysis Laboratory (NSA Lab), Professor Venkataraman develops new computational models and algorithms to characterize complex processes associated with brain dysfunction. Her current projects span the gamut from foundational computational neuroscience to translational applications of neuroimaging data to exploratory directions for probing neural circuitry. Each of these projects has yielded a new window into debilitating neurological and psychiatric disorders, such as autism, epilepsy, and schizophrenia, with the long-term goal of improving patient care. On the modeling front, our strategy has been to combine hypothesis-driven insights about the brain with data-driven learning techniques. This combination provides interpretable and actionable information while retaining predictive power. Our analytical frameworks also represent innovations in machine learning that can be adapted to problems outside of the medical realm.
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2023 IEEE/CVF INTERNATIONAL CONFERENCE ON COMPUTER VISION WORKSHOPS, ICCVWpp.2636-2645, (2023)
Niharika S. D'Souza,Archana Venkataraman
ArXiv (2023): 53-65
Ashwin De Silva, Rahul Ramesh,Lyle H. Ungar,Marshall G. Hussain Shuler, Noah J. Cowan,Michael Platt, Chen Li,Leyla Isik, Seung-Eon Roh,Adam Charles,Archana Venkataraman,Brian Caffo,
arXiv (Cornell University)pp.347-357, (2023)
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Yuta Kobayashi, Yu-Chung Peng, Evan Yu,Brian Bush, Youn-Hoa Jung,Zachary Murphy,Lee Goeddel,Glenn Whitman,Archana Venkataraman,Charles H. Brown
FRONTIERS IN MEDICINE (2023): 1165912-1165912
2023 45TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE & BIOLOGY SOCIETY, EMBC (2023): 1-4
bioRxiv : the preprint server for biology (2023)
MEDICAL IMAGE COMPUTING AND COMPUTER ASSISTED INTERVENTION, MICCAI 2023, PT VIII (2023): 184-194
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